Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
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This Author published in this journals
All Journal Journal of Global Islamic Economic Studies
Muhammad Renaldy Saputra
Unknown Affiliation
Economics, Econometrics & Finance

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Literature Review: Human Centric AI Design for HR Approaches, Barriers, and Best Practices Abd. Rasyid Syamsuri; Rifki Arohman; Muhammad Renaldy Saputra; Marcella Angraini
Journal of Global Islamic Economic Studies Vol. 2 No. 3 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

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Abstract

This study aims to explore the intersections of artificial intelligence, wage dynamics, and work-life balance in the context of the e-commerce industry, with particular attention to how digital transformation reshapes human resource management practices. Using a literature review method, the research systematically analyzed peer-reviewed journal articles, academic books, and reputable reports published in the last five years, focusing on themes related to algorithmic management, compensation structures, and employee well-being. The findings highlight that AI contributes significantly to wage optimization, predictive workforce planning, and performance evaluation, thereby improving organizational efficiency and responsiveness. However, the results also reveal critical challenges such as algorithmic bias, wage inequity, heightened employee monitoring, and the potential erosion of boundaries between work and personal life. These insights underscore the dual role of AI as both an enabler of productivity and a source of ethical dilemmas within e-commerce workplaces. The study concludes that successful integration of AI requires balanced strategies that combine technological innovation with human-centered values, ensuring fairness, inclusivity, and sustainable work practices in the digital economy.
Ethical Challenges and Algorithmic Bias in AI Implementation in HRM Abd. Rasyid Syamsuri; Rifki Arohman; Muhammad Renaldy Saputra; Marcella Angraini
Journal of Global Islamic Economic Studies Vol. 2 No. 2 (2024): Journal of Global Islamic Economic Studies
Publisher : Penerbit Merdeka Kreasi

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Abstract

This article explores the ethical challenges and algorithmic biases that emerge from the implementation of artificial intelligence (AI) in human resource management (HRM). Through a systematic literature review of recent studies, the analysis reveals that while AI can significantly improve recruitment efficiency, workforce analytics, and strategic HR functions, it also introduces substantial risks, including bias in decision-making, lack of transparency, and ethical concerns around privacy and employee well-being. The findings highlight that algorithmic bias is not only a technical issue but also a reflection of broader social and organizational dynamics, which if left unaddressed can reinforce workplace inequalities. Furthermore, the discussion emphasizes that effective governance, transparency mechanisms, and a human-centered approach are crucial for balancing technological innovation with fairness and inclusivity. Ultimately, the study concludes that responsible AI adoption in HRM requires embedding ethical principles into every stage of design and deployment to ensure that efficiency gains do not come at the expense of employee trust, dignity, and organizational sustainability.
Co-Authors Abd. Rasyid Syamsuri Marcella Angraini Rifki Arohman